FinTech Governance Training Course

Participants can identify governance implications within major FinTech business models and operating arrangements.

• Digital banking, payments, lending and insurtech business model characteristics
• Platform economics, network effects and concentration risk in financial ecosystems
• Open banking arrangements, APIs and consent-based data-sharing responsibilities
• Digital asset services, custody models and governance accountability boundaries
• Embedded finance partnerships and allocation of customer-facing obligations
• Revenue models tested against conflicts of interest and consumer outcomes

Participants can connect FinTech strategy, investment decisions and risk appetite statements.

• Strategic objectives translated into FinTech investment theses and measurable outcomes
• Risk appetite statements covering cyber, conduct, outsourcing and model risk
• Portfolio prioritisation using benefits, risk exposure, dependency and control readiness
• Business cases separating projected value from untested technology assumptions
• Stage-gate approvals for discovery, pilot, launch and scale decisions
• Exit criteria for failed pilots, underperforming platforms and unsuitable partners

Participants can design clear decision rights for boards, committees and management teams.

• Board committee mandates for technology, risk, audit and remuneration
• RACI matrices assigning approval, challenge, delivery and assurance responsibilities
• Delegated authority schedules for investments, vendors and product changes
• Decision logs recording assumptions, dissent, approvals and follow-up actions
• Escalation paths triggered by risk thresholds, incidents and control failures
• Management information requirements for informed non-executive director challenge

Participants can develop an operating model that embeds governance throughout FinTech delivery.

• Three Lines Model applied to product, technology, risk and assurance
• Product governance forums aligned with delivery cadence and risk decisions
• Control ownership assigned across engineering, operations, compliance and security
• Architecture review boards assessing technical debt and control implications
• Policy hierarchies linking board principles to operational procedures
• Governance calendars coordinating committee meetings, reporting and attestations

Participants can assess and report technology risks using structured governance methods.

• Technology risk taxonomy covering availability, integrity, confidentiality and change
• Inherent and residual risk ratings using likelihood-impact control assessments
• Risk registers linking causes, events, impacts, controls and accountable owners
• Key risk indicators with thresholds, trends and escalation triggers
• Control self-assessments tested against evidence, exceptions and remediation dates
• Risk acceptance protocols documenting rationale, duration and approving authority

Participants can oversee cyber resilience and critical service continuity at board level.

• NIST Cybersecurity Framework 2.0 functions mapped to board oversight
• Critical business services identified through customer harm and dependency analysis
• Impact tolerances defined for disruption, data loss and transaction failure
• Scenario testing for ransomware, cloud outage and payment service interruption
• Incident governance covering crisis roles, communications and regulatory notification
• Post-incident reviews tracking root causes, actions and board assurance

Participants can establish governance controls for data use, privacy and ethical decisions.

• Data ownership, stewardship and accountability across customer data lifecycles
• Data classification schemes for personal, confidential and regulated information
• Purpose limitation and consent records for data-sharing arrangements
• Data quality controls using completeness, accuracy, timeliness and lineage metrics
• Privacy impact assessments for digital products and automated decisions
• Ethical review criteria addressing fairness, transparency and vulnerable customers

Participants can govern AI-enabled decisions through accountable model risk and oversight controls.

• AI use-case inventory classified by customer impact and decision materiality
• Model governance policies covering development, validation, deployment and monitoring
• Algorithmic impact assessments documenting purpose, harms and affected populations
• Human oversight controls for credit, fraud, claims and customer service
• Bias testing using protected-group outcomes, error rates and drift measures
• Model change approvals supported by validation evidence and audit trails

Participants can govern FinTech partners and outsourced technology services through lifecycle controls.

• Third-party segmentation by criticality, data access and substitutability
• Due diligence covering financial viability, security, compliance and subcontractors
• Cloud shared-responsibility models translated into control ownership matrices
• Contract clauses for audit rights, incident notification and data return
• Service-level indicators monitored alongside resilience and concentration metrics
• Exit plans covering portability, transition support and customer continuity

Participants can integrate customer protection and financial crime controls into FinTech governance.

• Customer journey mapping identifies conduct risks within digital service design
• Know-your-customer controls aligned with remote onboarding and identity verification
• Transaction monitoring governance covering alerts, investigation and model tuning
• Fraud risk assessments for account takeover, scams and authorised push payments
• Product approval criteria testing disclosures, suitability and vulnerable customer outcomes
• Complaint data analysed for systemic harm, root causes and remediation

Participants can prepare governance evidence that supports regulatory engagement and inspection readiness.

• Regulatory obligation registers mapped to owners, controls and evidence
• Supervisory themes translated into board questions and management actions
• DORA requirements considered for ICT risk and third-party oversight
• Regulatory change governance covering interpretation, implementation and validation
• Evidence packs assembled from policies, minutes, dashboards and control testing
• Regulator meeting briefs documenting commitments, deadlines and accountable executives

Participants can plan assurance over FinTech governance, controls and management reporting.

• COSO Internal Control framework applied to technology-enabled financial services
• Control design reviews distinguish preventive, detective and corrective measures
• Assurance maps coordinate first-line testing, compliance reviews and internal audit
• Audit scoping uses risk assessment, materiality and change indicators
• Issue management tracks findings, owners, due dates and validation evidence
• Independent challenge documented without transferring management accountability

Participants can produce concise board reporting on FinTech performance, risks and decisions.

• Board dashboards combine strategic milestones, risk indicators and control status
• Reporting thresholds distinguish information, challenge, approval and escalation items
• Trend analysis explains movements in incidents, losses and customer outcomes
• Heat maps supplemented with drivers, uncertainty and management actions
• Board papers state recommendation, alternatives, risk acceptance and required decision
• Minutes capture challenge, conditions, dissent and agreed follow-up actions

Participants can govern controlled product change from concept through launch and review.

• Product lifecycle governance from ideation through retirement and customer remediation
• Change impact assessments cover systems, controls, data and customer communications
• Minimum viable product decisions tested against regulatory and control readiness
• Launch readiness checklists verify training, monitoring, support and contingency arrangements
• Post-implementation reviews compare outcomes, incidents and realised benefits
• Lessons learned converted into policy updates, control changes and backlog priorities

Participants can diagnose governance failures and recommend proportionate corrective actions.

• Root cause analysis separates governance, control, culture and capability failures
• Five Whys and fishbone diagrams structure incident causation analysis
• Failure scenarios involving cloud outages, biased models and payment disruptions
• Accountability reviews test decision quality, evidence and challenge records
• Remediation plans prioritise customer harm, regulatory exposure and control weaknesses
• Board recovery communications explain actions, oversight and assurance milestones

Participants can plan a phased improvement programme for FinTech governance maturity.

• Governance maturity assessments score policies, roles, controls and reporting
• Gap analysis compares current arrangements against target governance capabilities
• Roadmaps sequence quick wins, foundational controls and longer-term investments
• Accountability plans assign sponsors, owners, milestones and resource requirements
• Change communications address board expectations, workforce adoption and partner obligations
• Success measures track control effectiveness, decision quality and customer outcomes

Participants can build, review and present a complete FinTech governance pack for a proposed digital financial initiative.

• FinTech initiative scope defined through customers, value proposition and dependencies
• Governance charter specifies mandates, decision rights and escalation routes
• Risk register records technology, conduct, data and third-party exposures
• Board dashboard presents key indicators, decisions and emerging concerns
• Implementation roadmap sequences controls, assurance activities and approval gates
• Peer review tests accountability, evidence quality and risk treatment choices
• Executive presentation defends recommendations before simulated board committee scrutiny